Good food Flexible working hours Hybrid
Nothing that I can think of.
Well, MLPs work great in classification problems. The reason we used CONV layers earlier is that MLPs lose a lot of valuable information when trying to extract features from the image, because we have to flatten the image before feeding it to the ne
There were various stages in my interview. There was a coding round, then a project discussion, and finally an HR round. The coding round was conducted online, and shortlisted people were called for the project discussion and HR round.
Google's interview process takes around one to two months and includes seven steps: * Resume screen * Recruiter call * Phone screen(s) * Onsite interviews * Hiring committee * Team matching * Salary negotiation The steps requiring the most preparat
Well, MLPs work great in classification problems. The reason we used CONV layers earlier is that MLPs lose a lot of valuable information when trying to extract features from the image, because we have to flatten the image before feeding it to the ne
There were various stages in my interview. There was a coding round, then a project discussion, and finally an HR round. The coding round was conducted online, and shortlisted people were called for the project discussion and HR round.
Google's interview process takes around one to two months and includes seven steps: * Resume screen * Recruiter call * Phone screen(s) * Onsite interviews * Hiring committee * Team matching * Salary negotiation The steps requiring the most preparat